I mainly teach at Toulouse INP – ENSEEIHT in the department “Sciences du Numérique“, within the FISE program, and the FISEA program ModIA common with INSA Toulouse.

Since 2018, I also give lectures and/or labs of Numerical Optimisation in the “Certificat Sciences des Données et Big Data” provided by ToulouseTech.

• 2022-2023
  • PDE (M2, ModIA): CM, TD, TP.
  • Sequential Data Assimilation (M2, ModIA): TP.
  • Nonsmooth Convex Optimisation (M1, ModIA): CM, TD, TP.
  • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
  • PDE (M1): CTD, TP.
  • Numerical Optimisation (M1): TD.
  • Scientific Computing (L3): CM, CTD, TP.
  • Optimisation – Finite differences (L3): TP.

• 2021-2022
  • PDE (M2, ModIA): CM, TD, TP.
  • Sequential Data Assimilation (M2, ModIA): TP.
  • Nonsmooth Convex Optimisation (M1, ModIA): CM, TD, TP.
  • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
  • PDE (M1): CTD, TP.
  • Numerical Optimisation (M1): TD.
  • Scientific Computing (L3): CM, CTD, TP.

• 2020-2021
  • Nonsmooth Convex Optimisation (M1, ModIA): CM, TD, TP.
  • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
  • PDE (M1): CTD, TP.
  • Numerical Optimisation (M1): TP, TD.
  • Optimisation for Machine Learning (M1): TP.
  • Scientific Computing (L3): CM, CTD.
  • PDE – Finite differences (L3): CM.

• 2019-2020
  • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
  • PDE (M1): CTD, TP.
  • Numerical Optimisation (M1): TP, TD.
  • Optimisation for Machine Learning (M1): TP.
  • Scientific Computing (L3): CM, CTD.
  • PDE – Finite differences (L3): CM.
  • Measure theory and Integral (L3): CM.

• 2018-2019
  • Hilbert spaces and applications to Data Analysis (M1): CTD, TP.
  • PDE (M1): CTD, TP.
  • Numerical Optimisation (M1): TP, TD.
  • Optimisation for Machine Learning (M1): TP.
  • Linear Algebra for Data Mining (M1): TP.
  • Scientific Computing (L3): CM, CTD, TP.
  • PDE – Finite differences (L3): CM, TD, TP.
  • Measure theory and Integral (L3): TD.
  • Optimisation (L3): TD, TP.

• 2017-2018
  • Numerical Optimisation (M1): TP, TD.
  • Optimisation for Machine Learning (M1): TP.
  • PDE (M1): TP.
  • PDE – Finite differences (L3): CM, TD, TP.
  • Scientific Computing (L3): CM, CTD, TP.
  • Measure theory and Integral (L3): TD.
  • Optimisation (L3): TD, TP.

• 2016-2017
  • Numerical Optimisation (M1): TP, TD.
  • Optimisation for Machine Learning (M1): TP.
  • Hilbert spaces (L3): CTD, TP.
  • Numerical Linear Algebra (L3): CM, CTD, TP.
  • Measure theory and Integral (L3): TD.
  • Optimisation (L3): TD, TP.